Titlebook: Intelligent Computing Theory; 10th International C De-Shuang Huang,Vitoantonio Bevilacqua,Prashan Pre Conference proceedings 2014 Springer

打算

Computing the Kirchhoff Index of Some xyz-Transformations of Regular Molecular Graphspes of . – transformations, namely, the subdivision graph and the total graph, of regular graphs. In this paper, we compute the Kirchhoff index of some other . – transformations of regular (molecular) graphs, with explicit formulae for the Kirchhoff index of these transformation graphs being given in terms of parameters of the original graph.

控制

Conference proceedings 2014 learning; social and natural computing; neural networks; biometrics recognition; image processing; information security; virtual reality and human-computer interaction; knowledge discovery and data mining; signal processing; pattern recognition; biometric system and security for intelligent computing.

prosperity

GA-EAM Based Hybrid Algorithmcompared with some state-of-the-art algorithms like Particle Swarm Optimization-Time Variant Acceleration Coefficient (PSO-TVAC), Self-Adaptive Differential Evolution (SADE) and EAM on six benchmark functions with experimental results. It is found that the proposed hybrid algorithm gives better results than the existing algorithms.

Nefarious

excursion

Cost-Sensitive Bayesian Network Classifiers and Their Applications in Rock Burst Predictions, and the resulted algorithms are called cost-sensitive Bayesian Network classifiers. The experimental results on 36 UCI datasets validate their effectiveness in terms of the total misclassification costs. Finally, we apply the cost-sensitive Bayesian Network classifiers to some real-world rock burst prediction examples and achieve good results.

Crepitus

Subjugate

Quantifying the Evolutions of Social Interactions the power law distribution, and the users’ interactions have locality property. Furthermore, the results demonstrate that the evolutions of social interactions are useful for tracking the trends of topics.

Insensate

有机体

chemical-peel

Nonparametric Discriminant Multi-manifold Learningce data validate that NDML is of better performance than some other dimensionality reduction methods, such as Unsupervised Discriminant Projection (UDP), Constrained Maximum Variance Mapping (CMVM) and Linear Discriminant Analysis (LDA).